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Liu Y, Huang C, Xiong Y, Wang X, Shen Z, Zhang M, Gao N, Wang N, Du G, Zhan H. The causal relationship between human brain morphometry and knee osteoarthritis: a two-sample Mendelian randomization study. Front Genet 2024; 15:1420134. [PMID: 39040992 PMCID: PMC11260717 DOI: 10.3389/fgene.2024.1420134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/20/2024] [Indexed: 07/24/2024] Open
Abstract
Background Knee Osteoarthritis (KOA) is a prevalent and debilitating condition affecting millions worldwide, yet its underlying etiology remains poorly understood. Recent advances in neuroimaging and genetic methodologies offer new avenues to explore the potential neuropsychological contributions to KOA. This study aims to investigate the causal relationships between brain-wide morphometric variations and KOA using a genetic epidemiology approach. Method Leveraging data from 36,778 UK Biobank participants for human brain morphometry and 487,411 UK Biobank participants for KOA, this research employed a two-sample Mendelian Randomization (TSMR) approach to explore the causal effects of 83 brain-wide volumes on KOA. The primary method of analysis was the Inverse Variance Weighted (IVW) and Wald Ratio (WR) method, complemented by MR Egger and IVW methods for heterogeneity and pleiotropy assessments. A significance threshold of p < 0.05 was set to determine causality. The analysis results were assessed for heterogeneity using the MR Egger and IVW methods. Brain-wide volumes with Q_pval < 0.05 were considered indicative of heterogeneity. The MR Egger method was employed to evaluate the pleiotropy of the analysis results, with brain-wide volumes having a p-value < 0.05 considered suggestive of pleiotropy. Results Our findings revealed significant causal associations between KOA and eight brain-wide volumes: Left parahippocampal volume, Right posterior cingulate volume, Left transverse temporal volume, Left caudal anterior cingulate volume, Right paracentral volume, Left paracentral volume, Right lateral orbitofrontal volume, and Left superior temporal volume. These associations remained robust after tests for heterogeneity and pleiotropy, underscoring their potential role in the pathogenesis of KOA. Conclusion This study provides novel evidence of the causal relationships between specific brain morphometries and KOA, suggesting that neuroanatomical variations might contribute to the risk and development of KOA. These findings pave the way for further research into the neurobiological mechanisms underlying KOA and may eventually lead to the development of new intervention strategies targeting these neuropsychological pathways.
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Affiliation(s)
- Yongming Liu
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Chao Huang
- Yunyang County People’s Hospital Rehabilitation Medicine Department, Chongqing, China
| | - Yizhe Xiong
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Xiang Wang
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Zhibi Shen
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Mingcai Zhang
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Ningyang Gao
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Nan Wang
- Department of Traditional Chinese Medicine, Shanghai Yangzhi Rehabilitation Hospital (Yangzhi Affiliated Rehabilitation Hospital), School of Medicine, Tongji University, Shanghai, China
| | - Guoqing Du
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Hongsheng Zhan
- Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
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Barresi M, Hickmott RA, Bosakhar A, Quezada S, Quigley A, Kawasaki H, Walker D, Tolcos M. Toward a better understanding of how a gyrified brain develops. Cereb Cortex 2024; 34:bhae055. [PMID: 38425213 DOI: 10.1093/cercor/bhae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 03/02/2024] Open
Abstract
The size and shape of the cerebral cortex have changed dramatically across evolution. For some species, the cortex remains smooth (lissencephalic) throughout their lifetime, while for other species, including humans and other primates, the cortex increases substantially in size and becomes folded (gyrencephalic). A folded cortex boasts substantially increased surface area, cortical thickness, and neuronal density, and it is therefore associated with higher-order cognitive abilities. The mechanisms that drive gyrification in some species, while others remain lissencephalic despite many shared neurodevelopmental features, have been a topic of investigation for many decades, giving rise to multiple perspectives of how the gyrified cerebral cortex acquires its unique shape. Recently, a structurally unique germinal layer, known as the outer subventricular zone, and the specialized cell type that populates it, called basal radial glial cells, were identified, and these have been shown to be indispensable for cortical expansion and folding. Transcriptional analyses and gene manipulation models have provided an invaluable insight into many of the key cellular and genetic drivers of gyrification. However, the degree to which certain biomechanical, genetic, and cellular processes drive gyrification remains under investigation. This review considers the key aspects of cerebral expansion and folding that have been identified to date and how theories of gyrification have evolved to incorporate this new knowledge.
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Affiliation(s)
- Mikaela Barresi
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Ryan Alexander Hickmott
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Abdulhameed Bosakhar
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Sebastian Quezada
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Anita Quigley
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
- School of Engineering, RMIT University, La Trobe Street, Melbourne, VIC 3000, Australia
- Department of Medicine, University of Melbourne, St Vincent's Hospital, Regent Street, Fitzroy, VIC 3065, Australia
| | - Hiroshi Kawasaki
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Takara-machi 13-1, Kanazawa, Ishikawa 920-8640, Japan
| | - David Walker
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
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Kang Y, Kang W, Kim A, Tae WS, Ham BJ, Han KM. Decreased cortical gyrification in major depressive disorder. Psychol Med 2023; 53:7512-7524. [PMID: 37154200 DOI: 10.1017/s0033291723001216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
BACKGROUND Early neurodevelopmental deviations, such as abnormal cortical folding patterns, are candidate biomarkers of major depressive disorder (MDD). We aimed to investigate the association of MDD with the local gyrification index (LGI) in each cortical region at the whole-brain level, and the association of the LGI with clinical characteristics of MDD. METHODS We obtained T1-weighted images from 234 patients with MDD and 215 healthy controls (HCs). The LGI values from 66 cortical regions in the bilateral hemispheres were automatically calculated according to the Desikan-Killiany atlas. We compared the LGI values between the MDD and HC groups using analysis of covariance, including age, sex, and years of education as covariates. The association between the clinical characteristics and LGI values was investigated in the MDD group. RESULTS Compared with HCs, patients with MDD showed significantly decreased LGI values in the cortical regions, including the bilateral ventrolateral and dorsolateral prefrontal cortices, medial and lateral orbitofrontal cortices, insula, right rostral anterior cingulate cortex, and several temporal and parietal regions, with the largest effect size in the left pars triangularis (Cohen's f2 = 0.361; p = 1.78 × 10-13). Regarding the association of clinical characteristics with LGIs within the MDD group, recurrence and longer illness duration were associated with increased gyrification in several occipital and temporal regions, which showed no significant difference in LGIs between the MDD and HC groups. CONCLUSIONS These findings suggest that the LGI may be a relatively stable neuroimaging marker associated with MDD predisposition.
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Affiliation(s)
- Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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Troiani V, Snyder W, Kozick S, Patti MA, Beiler D. Variability and concordance of sulcal patterns in the orbitofrontal cortex: A twin study. Psychiatry Res Neuroimaging 2022; 324:111492. [PMID: 35597228 DOI: 10.1016/j.pscychresns.2022.111492] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 03/15/2022] [Accepted: 05/13/2022] [Indexed: 10/18/2022]
Abstract
Sulcogyral patterns have been identified in the orbitofrontal cortex (OFC) based on the continuity of the medial and lateral orbital sulci. Pattern types are named according to their frequency in the population, with Type I present in ∼60%, Type II in ∼25%, Type III in ∼10%, and Type IV in ∼5%. Previous work has demonstrated that psychiatric conditions with high estimated heritability (e.g. schizophrenia, bipolar disorder) are associated with reduced frequency of Type I patterns, but the general heritability of the OFC sulcogyral patterns is unknown. We examined concordance of OFC patterns in 304 monozygotic (MZ) twins relative to 172 dizygotic (DZ) twins using structural magnetic resonance imaging data. We find that the frequency of pattern types within MZ and DZ twins are similar and bilateral concordance rates across all pattern types in DZ twins were 14% and 21% for MZ twins. Results from follow-up analyses confirm that continuity in the rostral-caudal direction is an important source of variability within the OFC, and subtype analyses indicate that variability is present in other sulci that are not represented by overall OFC pattern type. Overall, these results suggest that OFC sulcogyral patterns may reflect important variance that is not genetic in origin.
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Affiliation(s)
- Vanessa Troiani
- Geisinger Autism and Developmental Medicine Institute, 120 Hamm Drive, Suite 2A, Lewisburg, PA 17837, United States.
| | - Will Snyder
- Geisinger Autism and Developmental Medicine Institute, 120 Hamm Drive, Suite 2A, Lewisburg, PA 17837, United States
| | - Shane Kozick
- Geisinger Autism and Developmental Medicine Institute, 120 Hamm Drive, Suite 2A, Lewisburg, PA 17837, United States
| | - Marisa A Patti
- Geisinger Autism and Developmental Medicine Institute, 120 Hamm Drive, Suite 2A, Lewisburg, PA 17837, United States
| | - Donielle Beiler
- Geisinger Autism and Developmental Medicine Institute, 120 Hamm Drive, Suite 2A, Lewisburg, PA 17837, United States
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Harrison SJ, Bijsterbosch JD, Segerdahl AR, Fitzgibbon SP, Farahibozorg SR, Duff EP, Smith SM, Woolrich MW. Modelling subject variability in the spatial and temporal characteristics of functional modes. Neuroimage 2020; 222:117226. [PMID: 32771617 PMCID: PMC7779373 DOI: 10.1016/j.neuroimage.2020.117226] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 06/26/2020] [Accepted: 07/30/2020] [Indexed: 11/19/2022] Open
Abstract
Recent work has highlighted the scale and ubiquity of subject variability in observations from functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of either the spatial presentation of, or the coupling between, functional regions can confound cross-subject analyses, making accurate and unbiased representations of functional data essential for interpreting any downstream analyses. Here, we extend the framework of probabilistic functional modes (PFMs) (Harrison et al., 2015) to capture cross-subject variability not only in the mode spatial maps, but also in the functional coupling between modes and in mode amplitudes. A new implementation of the inference now also allows for the analysis of modern, large-scale data sets, and the combined inference and analysis package, PROFUMO, is available from git.fmrib.ox.ac.uk/samh/profumo. A new implementation of the inference now also allows for the analysis of modern, large-scale data sets. Using simulated data, resting-state data from 1000 subjects collected as part of the Human Connectome Project (Van Essen et al., 2013), and an analysis of 14 subjects in a variety of continuous task-states (Kieliba et al., 2019), we demonstrate how PFMs are able to capture, within a single model, a rich description of how the spatio-temporal structure of resting-state fMRI activity varies across subjects. We also compare the new PFM model to the well established independent component analysis with dual regression (ICA-DR) pipeline. This reveals that, under PFM assumptions, much more of the (behaviorally relevant) cross-subject variability in fMRI activity should be attributed to the variability in spatial maps, and that, after accounting for this, functional coupling between modes primarily reflects current cognitive state. This has fundamental implications for the interpretation of cross-sectional studies of functional connectivity that do not capture cross-subject variability to the same extent as PFMs.
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Affiliation(s)
- Samuel J Harrison
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; OHBA, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Translational Neuromodeling Unit, University of Zurich & ETH Zurich, Zurich, Switzerland.
| | - Janine D Bijsterbosch
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Department of Radiology, Washington University Medical School, Saint Louis, USA
| | - Andrew R Segerdahl
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Sean P Fitzgibbon
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | | | - Eugene P Duff
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Department of Paediatrics, University of Oxford, Oxford, UK
| | - Stephen M Smith
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Mark W Woolrich
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; OHBA, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
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Accogli A, Addour-Boudrahem N, Srour M. Neurogenesis, neuronal migration, and axon guidance. HANDBOOK OF CLINICAL NEUROLOGY 2020; 173:25-42. [PMID: 32958178 DOI: 10.1016/b978-0-444-64150-2.00004-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Development of the central nervous system (CNS) is a complex, dynamic process that involves a precisely orchestrated sequence of genetic, environmental, biochemical, and physical factors from early embryonic stages to postnatal life. Duringthe past decade, great strides have been made to unravel mechanisms underlying human CNS development through the employment of modern genetic techniques and experimental approaches. In this chapter, we review the current knowledge regarding the main developmental processes and signaling mechanisms of (i) neurogenesis, (ii) neuronal migration, and (iii) axon guidance. We discuss mechanisms related to neural stem cells proliferation, migration, terminal translocation of neuronal progenitors, and axon guidance and pathfinding. For each section, we also provide a comprehensive overview of the underlying regulatory processes, including transcriptional, posttranscriptional, and epigenetic factors, and a myriad of signaling pathways that are pivotal to determine the fate of neuronal progenitors and newly formed migrating neurons. We further highlight how impairment of this complex regulating system, such as mutations in its core components, may cause cortical malformation, epilepsy, intellectual disability, and autism in humans. A thorough understanding of normal human CNS development is thus crucial to decipher mechanisms responsible for neurodevelopmental disorders and in turn guide the development of effective and targeted therapeutic strategies.
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Affiliation(s)
- Andrea Accogli
- Unit of Medical Genetics, Istituto Giannina Gaslini Pediatric Hospital, Genova, Italy; Departments of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal-Child Science, Università degli Studi di Genova, Genova, Italy
| | | | - Myriam Srour
- Research Institute, McGill University Health Centre, Montreal, QC, Canada; Department of Pediatrics, Division of Pediatric Neurology, McGill University, Montreal, QC, Canada.
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Quezada S, Castillo-Melendez M, Walker DW, Tolcos M. Development of the cerebral cortex and the effect of the intrauterine environment. J Physiol 2018; 596:5665-5674. [PMID: 30325048 DOI: 10.1113/jp277151] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 10/02/2018] [Indexed: 12/31/2022] Open
Abstract
The human brain is one of the most complex structures currently under study. Its external shape is highly convoluted, with folds and valleys over the entire surface of the cortex. Disruption of the normal pattern of folding is associated with a number of abnormal neurological outcomes, some serious for the individual. Most of our knowledge of the normal development and folding of the cerebral cortex (gyrification) focuses on the internal, biological (i.e. genetically driven) mechanisms of the brain that drive gyrification. However, the impact of an adverse intrauterine and maternal physiological environment on cortical folding during fetal development has been understudied. Accumulating evidence suggests that the state of the intrauterine and maternal environment can have a significant impact on gyrification of the fetal cerebral cortex. This review summarises our current knowledge of how development in a suboptimal intrauterine and maternal environment can affect the normal development of the folded cerebral cortex.
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Affiliation(s)
- Sebastian Quezada
- Monash University, Wellington Rd, Clayton, Melbourne, Australia, 3168.,The Ritchie Centre, Hudson Institute of Medical Research, 27-31 Wright St, Clayton, Melbourne, Australia, 3168
| | - Margie Castillo-Melendez
- Monash University, Wellington Rd, Clayton, Melbourne, Australia, 3168.,The Ritchie Centre, Hudson Institute of Medical Research, 27-31 Wright St, Clayton, Melbourne, Australia, 3168
| | - David W Walker
- School of Health & Biomedical Sciences, RMIT University, Plenty Rd., Bundoora, Melbourne, Australia, 3083
| | - Mary Tolcos
- School of Health & Biomedical Sciences, RMIT University, Plenty Rd., Bundoora, Melbourne, Australia, 3083
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Shollenbarger SG, Price J, Wieser J, Lisdahl K. Impact of cannabis use on prefrontal and parietal cortex gyrification and surface area in adolescents and emerging adults. Dev Cogn Neurosci 2015; 16:46-53. [PMID: 26233614 PMCID: PMC5289075 DOI: 10.1016/j.dcn.2015.07.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 07/17/2015] [Accepted: 07/20/2015] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Regions undergoing maturation with CB1 receptors may be at increased risk for cannabis-induced alterations. Here, we examine the relationships between cannabis use and prefrontal (PFC) and inferior parietal gyrification and surface area (SA) in youth. METHODS Participants included 33 cannabis users and 35 controls (ages 18-25). Exclusions included co-morbid psychiatric/neurologic disorders and heavy other drug use. Multiple regressions and Pearson r correlations examined the effects of cannabis use on gyrification, SA and cognition. RESULTS Cannabis use was associated with decreased gyrification in: ventral-medial PFC (RH: [FDR corrected p=.02], LH: [FDR corrected p=.02]); medial PFC (RH: [FDR corrected p=.02], LH: [FDR corrected p=.02]); and frontal poles (RH: [FDR corrected p=.02], LH: [FDR corrected p=.02]). No differences were observed in bilateral hemispheres, PFC, dorsolateral, ventrolateral, or inferior parietal ROIs. Cannabis use was associated with marginally decreased SA in left: medial PFC [FDR corrected p=.09], and ventral lateral PFC: [FDR corrected p=.09]. In cannabis users, increased gyrification was associated with improved working-memory performance in right medial (p=.003), ventral-medial (p=.03), and frontal pole ROIs (p=.007). CONCLUSIONS Cannabis use was associated with reduced gyrification in PFC regions implicated in self-referential thought and social cognition. Results suggest that these gyrification characteristics may have cognitive implications.
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Affiliation(s)
- Skyler G Shollenbarger
- Department of Psychology, University of Wisconsin-Milwaukee, Garland Hall Rm 224, 2441 East Hartford Ave, Milwaukee, WI 53211, United States.
| | - Jenessa Price
- McLean Hospital-Harvard Medical School, 115 Mill St., Belmont, MA 02478, United States.
| | - Jon Wieser
- Department of Psychology, University of Wisconsin-Milwaukee, Garland Hall Rm 224, 2441 East Hartford Ave, Milwaukee, WI 53211, United States.
| | - Krista Lisdahl
- Department of Psychology, University of Wisconsin-Milwaukee, Garland Hall Rm 224, 2441 East Hartford Ave, Milwaukee, WI 53211, United States.
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Takahashi T, Nakamura Y, Nakamura Y, Aleksic B, Takayanagi Y, Furuichi A, Kido M, Nakamura M, Sasabayashi D, Ikeda M, Noguchi K, Kaibuchi K, Iwata N, Ozaki N, Suzuki M. The polymorphism of YWHAE, a gene encoding 14-3-3epsilon, and orbitofrontal sulcogyral pattern in patients with schizophrenia and healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 2014; 51:166-71. [PMID: 24561237 DOI: 10.1016/j.pnpbp.2014.02.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 02/05/2014] [Accepted: 02/14/2014] [Indexed: 11/30/2022]
Abstract
An altered sulcogyral pattern in the orbitofrontal cortex (OFC) has been implicated in schizophrenia as a possible marker of abnormal neurodevelopment, while its genetic mechanism remains unknown. This magnetic resonance imaging study investigated the relationship between the polymorphism of YWHAE (rs28365859), a gene encoding 14-3-3epsilon that is a Disrupted-in-Schizophrenia 1 (DISC1)-interacting molecule associated with neuronal development, and the OFC subtypes of the 'H-shaped' sulcus (Types I, II, and III) in a Japanese sample of 72 schizophrenia patients and 86 healthy controls. The schizophrenia patients had significantly increased Type III (p = 0.004) and decreased Type I (p = 0.013) expression on the right hemisphere compared to the controls. The subjects carrying the protective C allele showed a decrease in Type III (p = 0.005) and an increase in Type I (p = 0.017) compared to the G allele homozygotes, especially for the healthy subjects in the left hemisphere. These results suggest a possible role for the YWHAE genotype in the early development of the OFC sulcogyral pattern, but its effect alone is not likely to explain the altered sulcogyral pattern in schizophrenia.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan; Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan.
| | - Yumiko Nakamura
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yukako Nakamura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Branko Aleksic
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Masashi Ikeda
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Kozo Kaibuchi
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Cell Pharmacology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nakao Iwata
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Norio Ozaki
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan; Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan
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He X, Zhang XM, Wu J, Fu J, Mou L, Lu DH, Cai Y, Luo XG, Pan A, Yan XX. Olfactory experience modulates immature neuron development in postnatal and adult guinea pig piriform cortex. Neuroscience 2013; 259:101-12. [PMID: 24316472 DOI: 10.1016/j.neuroscience.2013.11.056] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2013] [Revised: 11/23/2013] [Accepted: 11/25/2013] [Indexed: 10/25/2022]
Abstract
Immature neurons expressing doublecortin (DCX+) are present around cortical layer II in various mammals including guinea pigs and humans, especially enriched in the paleocortex. However, little is known whether and how functional experience affects the development of this population of neurons. We attempted to explore a modulation by experience to layer II DCX+ cells in the primary olfactory cortex in postnatal and adult guinea pigs. Neonatal and 1-year-old guinea pigs were subjected to unilateral naris-occlusion, followed 1 and 2months later by morphometry of DCX+ cells in the piriform cortex. DCX+ somata and processes were reduced in the deprived relative to the non-deprived piriform cortex in both age groups at the two surviving time points. The number of DCX+ cells was decreased in the deprived side relative to internal control at 1 and 2months in the youths and at 2months in the adults post-occlusion. The mean somal area of DCX+ cells showed a trend of decrease in the deprived side relative to the internal control in the youths. In addition, DCX+ cells in the deprived side exhibited a lower frequency of colocalization with the neuron-specific nuclear antigen (NeuN) relative to counterparts. These results suggest that normal olfactory experience is required for the maintenance and development of DCX+ immature neurons in postnatal and adult guinea pig piriform cortex.
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Affiliation(s)
- X He
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - X-M Zhang
- Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China
| | - J Wu
- Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China
| | - J Fu
- Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China
| | - L Mou
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China; Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China
| | - D-H Lu
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - Y Cai
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - X-G Luo
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - A Pan
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - X-X Yan
- Department of Anatomy and Neurobiology, Central South University Xiangya School of Medicine, Changsha, Hunan 410013, China.
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Hosseini SMH, Kesler SR. Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults. Neuroimage 2013; 78:402-14. [PMID: 23603348 DOI: 10.1016/j.neuroimage.2013.04.032] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2012] [Revised: 04/06/2013] [Accepted: 04/08/2013] [Indexed: 02/08/2023] Open
Abstract
In recent years, coordinated variations in brain morphology (e.g. volume, thickness, surface area) have been employed as a measure of structural association between brain regions to infer large-scale structural correlation networks (SCNs). However, it remains unclear how morphometric correlations relate to functional connectivity between brain regions. Resting-state networks (RSNs), derived from coordinated variations in neural activity at rest, have been shown to reflect connectivity between functionally related regions as well as, to some extent, anatomical connectivity between brain regions. Therefore, it is intriguing to investigate similarities between SCN and RSN to help identify how morphometric correlations relate to connections defined by resting-state connectivity. We investigated the similarities in connectivity patterns and small-world organization between SCN, derived from correlations of regional gray matter volume across individuals, and RSN in 36 healthy individuals. The results showed a significant similarity between SCN and RSN (60% for positive connections and 40% for negative connections) that might be explained by shared experience-related functional connectivity underlying both SCN and RSN. Conversely, the small-world parameters of the networks were significantly different, suggesting that SCN topological parameters cannot be regarded as a substitute for topological organization in resting-state networks. While our data suggest that using structural correlation networks can be useful in understanding alterations in structural associations in various brain disorders, it should be noted that a portion of the observed alterations might be explained by factors other than those reflecting resting-state connectivity.
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Affiliation(s)
- S M Hadi Hosseini
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305-5795, USA.
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12
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Zilles K, Palomero-Gallagher N, Amunts K. Development of cortical folding during evolution and ontogeny. Trends Neurosci 2013; 36:275-84. [PMID: 23415112 DOI: 10.1016/j.tins.2013.01.006] [Citation(s) in RCA: 357] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 01/14/2013] [Accepted: 01/22/2013] [Indexed: 12/23/2022]
Abstract
Cortical folding is a hallmark of many, but not all, mammalian brains. The degree of folding increases with brain size across mammals, but at different scales between orders and families. In this review we summarize recent studies that have shed light on cortical folding and discuss new models that arise from these data. Genetic analyses argue for an independent development of brain volume and gyrification, but more recent data on the cellular development of the cortex and its connectivity highlight the role of these processes in cortical folding (grey matter hypothesis). This, and the widely discussed tension hypothesis, further tested by analyzing the mechanical properties of maturing nerve fibers, synapses, and dendrites, can provide the basis for a future integrative view on cortical folding.
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Affiliation(s)
- Karl Zilles
- Research Centre Juelich, Institute for Neuroscience and Medicine (INM-1), Juelich, Germany.
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14
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Tepest R, Schwarzbach CJ, Krug B, Klosterkötter J, Ruhrmann S, Vogeley K. Morphometry of structural disconnectivity indicators in subjects at risk and in age-matched patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2013; 263:15-24. [PMID: 22821623 DOI: 10.1007/s00406-012-0343-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Accepted: 06/30/2012] [Indexed: 01/13/2023]
Abstract
Structural disconnectivity has been hypothesized as being accountable for the pathophysiology of schizophrenia. Morphometric variables suitable for the empirical study of disconnectivity were studied aiming at the research question whether empirical indicators for disconnectivity are already informative in subjects at risk (SAR) and in young matched patients diagnosed with schizophrenia (SZ). In MRI data of subjects of the two diagnostic groups SZ and SAR, the size of the corpus callosum (CC) as indicator for interhemispherical long distance connections and the gyrification index (GI) as indicator for cortico-cortical connections were analyzed compared to a healthy controls (HC). Each subgroup consists of 21 subjects matched for sex and age. Measurements of the CC and GI were estimated in manually performed tracing procedures. GI data revealed significant differences between the diagnostic groups of both SAR and SZ as compared to HC in the frontal and parietal cortices. Measurements of total CC yielded no significant differences between diagnostic groups. The results are suggestive for impaired cortico-cortical connections as indicated by gyrification changes in SZ and also in SAR, whereas interhemispherical connectivity at the same time appears to be unaffected.
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Affiliation(s)
- Ralf Tepest
- Klinik für Psychiatrie und Psychotherapie, Uniklinik Köln, Cologne, Germany.
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15
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Vasung L, Fischi-Gomez E, Hüppi PS. Multimodality evaluation of the pediatric brain: DTI and its competitors. Pediatr Radiol 2013; 43:60-8. [PMID: 23288478 DOI: 10.1007/s00247-012-2515-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Accepted: 08/29/2012] [Indexed: 12/18/2022]
Abstract
The development of the human brain, from the fetal period until childhood, happens in a series of intertwined neurogenetical and histogenetical events that are influenced by environment. Neuronal proliferation and migration, cell aggregation, axonal ingrowth and outgrowth, dendritic arborisation, synaptic pruning and myelinisation contribute to the 'plasticity of the developing brain'. These events taken together contribute to the establishment of adult-like neuroarchitecture required for normal brain function. With the advances in technology today, mostly due to the development of non-invasive neuroimaging tools, it is possible to analyze these structural events not only in anatomical space but also longitudinally in time. In this review we have highlighted current 'state of the art' neuroimaging tools. Development of the new MRI acquisition sequences (DTI, CHARMED and phase imaging) provides valuable insight into the changes of the microstructural environment of the cortex and white matter. Development of MRI imaging tools dedicated for analysis of the acquired images (i) TBSS and ROI fiber tractography, (ii) new tissue segmentation techniques and (iii) morphometric analysis of the cortical mantle (cortical thickness and convolutions) allows the researchers to map the longitudinal changes in the macrostructure of the developing brain that go hand-in-hand with the acquisition of cognitive skills during childhood. Finally, the latest and the newest technologies, like connectom analysis and resting state fMRI connectivity analysis, today, for the first time provide the opportunity to study the developing brain through the prism of maturation of the systems and networks beyond individual anatomical areas. Combining these methods in the future and modeling the hierarchical organization of the brain might ultimately help to understand the mechanisms underlying complex brain structure function relationships of normal development and of developmental disorders.
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Affiliation(s)
- Lana Vasung
- Division of Development and Growth, Department of Pediatrics, University of Geneva, University Hospital Geneva, Rue Willy-Donzé 6, 1211 Genève 14, Geneva, Switzerland
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Blokland GAM, de Zubicaray GI, McMahon KL, Wright MJ. Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies. Twin Res Hum Genet 2012; 15:351-71. [PMID: 22856370 PMCID: PMC4291185 DOI: 10.1017/thg.2012.11] [Citation(s) in RCA: 163] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Because brain structure and function are affected in neurological and psychiatric disorders, it is important to disentangle the sources of variation in these phenotypes. Over the past 15 years, twin studies have found evidence for both genetic and environmental influences on neuroimaging phenotypes, but considerable variation across studies makes it difficult to draw clear conclusions about the relative magnitude of these influences. Here we performed the first meta-analysis of structural MRI data from 48 studies on >1,250 twin pairs, and diffusion tensor imaging data from 10 studies on 444 twin pairs. The proportion of total variance accounted for by genes (A), shared environment (C), and unshared environment (E), was calculated by averaging A, C, and E estimates across studies from independent twin cohorts and weighting by sample size. The results indicated that additive genetic estimates were significantly different from zero for all meta-analyzed phenotypes, with the exception of fractional anisotropy (FA) of the callosal splenium, and cortical thickness (CT) of the uncus, left parahippocampal gyrus, and insula. For many phenotypes there was also a significant influence of C. We now have good estimates of heritability for many regional and lobar CT measures, in addition to the global volumes. Confidence intervals are wide and number of individuals small for many of the other phenotypes. In conclusion, while our meta-analysis shows that imaging measures are strongly influenced by genes, and that novel phenotypes such as CT measures, FA measures, and brain activation measures look especially promising, replication across independent samples and demographic groups is necessary.
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Falkai P, Möller HJ. From generation of biomarkers to treatment and psychosocial aspects of psychosis. Eur Arch Psychiatry Clin Neurosci 2011; 261:457-8. [PMID: 21927833 PMCID: PMC3182324 DOI: 10.1007/s00406-011-0262-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- P. Falkai
- Department of Psychiatry and Psychotherapy, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - H.-J. Möller
- Psychiatry Hospital, Ludwigs-Maximililans-University Munich, Nussbaumstr. 7, 80336 Munich, Germany
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